Overview In the realm of modern business and technology, data analysis is indispensable. The “Data Analyst: The Complete Course” offers …
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In the realm of modern business and technology, data analysis is indispensable. The “Data Analyst: The Complete Course” offers a comprehensive journey into the fundamentals and advanced techniques of data analysis. This course equips learners with the essential skills to collect, organize, analyze, and interpret data effectively. Through hands-on exercises and real-world examples, participants will master data manipulation, visualization, and statistical analysis using industry-standard tools and techniques. Whether you are new to data analysis or looking to refine your skills, this course provides a structured approach to harnessing the power of data for informed decision-making. By the end of this course, you will be proficient in handling complex datasets and deriving actionable insights to drive business success.
On Completion of this online course, you’ll acquire:
The “Data Analyst: The Complete Course” is designed to equip learners with the skills and knowledge required to excel in the field of data analysis. Starting with the basics of data types and structures, participants will delve into data cleaning and preparation methodologies. The course progresses to advanced topics such as statistical analysis, hypothesis testing, and regression modeling, empowering learners to make informed decisions based on data-driven insights.Hands-on projects and case studies provide practical experience in manipulating datasets and deriving meaningful conclusions. Participants will also learn to visualize data effectively using tools like Tableau and Excel, gaining proficiency in presenting findings to stakeholders.Throughout the course, emphasis is placed on using industry-standard tools such as SQL and Python for data manipulation and analysis. By the end of the program, students will have the skills to perform complex data analysis tasks independently and contribute to data-driven decision-making processes within their organizations.Whether you are aspiring to enter the field of data analysis or seeking to enhance your current skill set, this course offers a structured pathway to becoming a proficient data analyst. With a focus on practical skills and real-world applications, participants will emerge ready to tackle challenges in data-driven environments with confidence.
This course is ideal for aspiring data analysts, business analysts, and professionals looking to enhance their analytical skills. It is suitable for beginners with no prior experience in data analysis as well as intermediate learners aiming to deepen their knowledge and proficiency in data manipulation and interpretation.
Participants should have a basic understanding of mathematics and statistics. Familiarity with computer operations and software applications is recommended. No prior experience in programming is required, although a willingness to learn SQL and Python basics will be beneficial for hands-on exercises and projects.
Upon successful completion of the Data Analyst: The Complete Course course, learners can obtain both a PDF certificate and a Hard copy certificate for completely FREE. The Hard copy certificate is available for a nominal fee of £3.99, which covers the delivery charge within the United Kingdom. Additional delivery charges may apply for orders outside the United Kingdom.
| Introduction to Data Analysis | |||
| Module 01: Introduction | 00:02:00 | ||
| Module 02: Agenda and Principles of Process Management | 00:06:00 | ||
| Module 03: The Voice of the Process | 00:05:00 | ||
| Module 04: Working as One Team for Improvement | 00:04:00 | ||
| Module 05: Exercise: The Voice of the Customer | 00:03:00 | ||
| Module 06: Tools for Data Analysis | 00:07:00 | ||
| Module 07: The Pareto Chart | 00:03:00 | ||
| Module 08: The Histogram | 00:03:00 | ||
| Module 09: The Run Chart | 00:04:00 | ||
| Module 10: Exercise: Presenting Performance Data | 00:05:00 | ||
| Module 11: Understanding Variation | 00:06:00 | ||
| Module 12: The Control Chart | 00:06:00 | ||
| Module 13: Control Chart Example | 00:04:00 | ||
| Module 14: Control Chart Special Cases | 00:06:00 | ||
| Module 15: Interpreting the Control Chart | 00:10:00 | ||
| Module 16: Control Chart Exercise | 00:07:00 | ||
| Module 17: Strategies to Deal with Variation | 00:06:00 | ||
| Module 18: Using Data to Drive Improvement | 00:14:00 | ||
| Module 19: A Structure for Performance Measurement | 00:06:00 | ||
| Module 20: Data Analysis Exercise | 00:06:00 | ||
| Module 21: Course Project | 00:03:00 | ||
| Module 22: Test your Understanding | 00:17:00 | ||
| Google Data Studio | |||
| Module 01: Introduction to GDS | 00:36:00 | ||
| Module 02: Data Visualization | 01:29:00 | ||
| Module 03: Geo-visualization | 00:16:00 | ||
| Module 04: A Socio-Economic Case Study | 00:20:00 | ||
| Data Analysis and Forecasting in Excel | |||
| Modifying a Worksheet | |||
| Insert, Delete, and Adjust Cells, Columns, and Rows | 00:10:00 | ||
| Search for and Replace Data | 00:09:00 | ||
| Use Proofing and Research Tools | 00:07:00 | ||
| Working with Lists | |||
| Sort Data | 00:10:00 | ||
| Filter Data | 00:10:00 | ||
| Query Data with Database Functions | 00:09:00 | ||
| Outline and Subtotal Data | 00:09:00 | ||
| Analyzing Data | |||
| Apply Intermediate Conditional Formatting | 00:07:00 | ||
| Apply Advanced Conditional Formatting | 00:05:00 | ||
| Visualizing Data with Charts | |||
| Create Charts | 00:13:00 | ||
| Modify and Format Charts | 00:12:00 | ||
| Use Advanced Chart Features | 00:12:00 | ||
| Using PivotTables and PivotCharts | |||
| Create a PivotTable | 00:13:00 | ||
| Analyze PivotTable Data | 00:12:00 | ||
| Present Data with PivotCharts | 00:07:00 | ||
| Filter Data by Using Timelines and Slicers | 00:11:00 | ||
| Working with Multiple Worksheets and Workbooks | |||
| Use Links and External References | 00:12:00 | ||
| Use 3-D References | 00:06:00 | ||
| Consolidate Data | 00:05:00 | ||
| Using Lookup Functions and Formula Auditing | |||
| Use Lookup Functions | 00:12:00 | ||
| Trace Cells | 00:09:00 | ||
| Watch and Evaluate Formulas | 00:08:00 | ||
| Automating Workbook Functionality | |||
| Apply Data Validation | 00:13:00 | ||
| Search for Invalid Data and Formulas with Errors | 00:04:00 | ||
| Work with Macros | 00:18:00 | ||
| Creating Sparklines and Mapping Data | |||
| Create Sparklines | 00:07:00 | ||
| MapData | 00:07:00 | ||
| Forecasting Data | |||
| Determine Potential Outcomes Using Data Tables | 00:08:00 | ||
| Determine Potential Outcomes Using Scenarios | 00:09:00 | ||
| Use the Goal Seek Feature | 00:04:00 | ||
| Forecasting Data Trends | 00:05:00 | ||
In the UK, the social care system is mainly managed by the local councils. People are directly employed by the councils. They often work together with the health commissioners under joint funding arrangements. Some people work for private companies or voluntary organizations hired by local councils. They help the local councils with their personal social services.
In the UK, the social care system is mainly managed by the local councils. People are directly employed by the councils. They often work together with the health commissioners under joint funding arrangements. Some people work for private companies or voluntary organizations hired by local councils. They help the local councils with their personal social services.
In the UK, the social care system is mainly managed by the local councils. People are directly employed by the councils. They often work together with the health commissioners under joint funding arrangements. Some people work for private companies or voluntary organizations hired by local councils. They help the local councils with their personal social services.
In the UK, the social care system is mainly managed by the local councils. People are directly employed by the councils. They often work together with the health commissioners under joint funding arrangements. Some people work for private companies or voluntary organizations hired by local councils. They help the local councils with their personal social services.
In the UK, the social care system is mainly managed by the local councils. People are directly employed by the councils. They often work together with the health commissioners under joint funding arrangements. Some people work for private companies or voluntary organizations hired by local councils. They help the local councils with their personal social services.
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